Life is not waiting for the storm to pass, its learning to dance in the rain.
生活不是等待暴风雨过去，而是学会在雨中舞蹈。
Until 1300 the Arab civilization was dynamic and its learning became widespread.
阿拉伯文明直到1300年还充满活力，它的学术传播四方。
And its learning procedure includes two parts: offline training of SVM and online training of fuzzy scale factors.
学习过程分为离线学习支持向量机和在线整定模糊比例因子两部分。
A fire signal detection model based on fuzzy neural-network and its learning algorithm are presented in this paper.
本文提出了一种基于模糊神经网络的火灾信号探测数学模型，得出了它的一种学习算法，并进行了计算机仿真。
However, its learning speed is slow in learning more advanced copies and a complicated output-input projection relationship.
然而对于学习样本较多、输入输出映射关系复杂的情况，学习速度较慢。
This paper provides a new architecture of neural network, called Loop architecture neural network (LANN), and its learning rules.
本文提出了一种称为环结构神经网络(LANN)模型及其学习算法。
Finally, experimental results of two typical benchmarks demonstrate that the new model and its learning algorithm are feasible and efficient.
两个典型算例的实验结果表明，该模型及其学习算法是可行和有效的。
Barbarians first invaded Spain in AD 409 but were supplanted by Moors from North Africa (711-719), who organized a kingdom known for its learning and splendor.
野蛮人于公元409首次入侵西班牙，但后来被来自北非的摩尔人取代(711- 719年)，摩尔人建立了一个博学和辉煌的王国。
Secondly, a trained ANN can endue risk assessment model with expert assessment knowledge in the way of joint weight through its learning and adapting capability.
其次，利用神经网络的自学习和自适应能力，经过训练的神经网络系统能够将专家评价思想以连接权的方式赋予风险评价模型。
The general form of CUSI neuron model and its learning algorithm are given, and apply it to geological data analysis and get the better effect than linear regression.
提出了CUSI神经元模型的一般形式，给出其学习算法。通过实例将CUSI神经元模型应用到地质数据的分析上，取得了比线性回归更好的效果。
An adaptive neuron control method is presented. By use of this kind of controller, an intelligent control system is designed, and its learning rules are also presented.
该文给出了一种自适应神经元的控制方法，设计了神经元网络作为控制器的智能控制系统，给出了学习规则。
Objective:To investigate the improvement effect on its learning ability by enriched environmental stimulation training to infant rats that were born in low-iodine condition.
目的：通过给予低碘环境出生的仔鼠丰富环境的训练，研究对其学习能力的改善作用。
Self-generating neural network (SGNN) is a self-organization neural network, whose network structures and parameters need not to be set by users, and its learning process needs no iteration.
自生成神经网络（SGNN）是一类自组织神经网络，它不需要用户指定网络结构和学习参数，而且不需要迭代学习，是一类特点突出的神经网络。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
Its learning rule is to use the steepest descent method, by back-propagation network to continuously adjust the weights and thresholds, so the network and the minimum sum of squared errors.
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。
Its learning rule is to use the steepest descent method, by back-propagation network to continuously adjust the weights and thresholds, so the network and the minimum sum of squared errors.
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。
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